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FreeSite audit

Is your llms.txt AI-ready?

Validate your llms.txt against the emerging specification: structure, content, links, entity definitions, and use policy.

One free audit per email. Verify with a 6-digit code to view it.

01 / What it does

Optional for the engines, useful for the file itself.

llms.txt is a proposed file that summarizes your website for language models: a title, a short description, and sections of links to your key pages. It is optional: Google says Google Search ignores it, and no major AI engine documents using it to choose citations (checked September 2026).

This validator checks your file against Radar's rubric, which also scores entity definitions and a use policy, two sections that are not part of the llms.txt proposal.

InputYour domain (we fetch /llms.txt)
Output0-100 score across 6 sections, line-level notes
PriceFree · one audit per email
02 / What we validate

What we validate.

6 checks, each with a plain-English reason it matters. Every one maps to a line in the report.

01llms.txt Validator

Structure & Formatting

H1 title, blockquote summary, markdown headings, and clean formatting.

02llms.txt Validator

Content Sections

Company info, products/services, descriptive content beyond just links.

03llms.txt Validator

Links & URLs

URL count, distribution across sections, internal vs external links.

04llms.txt Validator

Entity Definitions

“Is a/provides/offers” language that helps AI build entity associations.

05llms.txt Validator

Use Policy

Citation guidance, attribution rules, and contact information.

06llms.txt Validator

Completeness

Word count depth (no credit past 150,000 characters, about the largest 5% of llms.txt files we sampled), llms-full.txt bonus, and section variety.

03 / Scoring

How We Score (And Why It Matters)

100points

The Crawl Checker does a shallow llms.txt check (4 binary signals, 20 pts). This Validator goes deep: section-by-section analysis, link extraction, entity detection, word count analysis, spec compliance, and content quality.

01
Structure
20pts
02
Content Sections
20pts
03
Links & URLs
20pts
04
Entity Definitions
15pts
05
Use Policy
10pts
06
Completeness
15pts
04 / Research

Built on our own implementation

We built a dynamic, entity-aware llms.txt for pixelmojo.io that auto-maps from our knowledge graph. This validator reflects what we learned about what makes an llms.txt effective for AI discovery.

Radar

Want the full picture across four AI engines?

Radar orchestrates 13 AI visibility audits in staged batches: crawl access, llms.txt, structured data, brand citations, and more. It then surfaces cross-tool conflicts and ships a prioritized action plan for your domain.

Sweep · 000° · 13 checks · one pass
Start now

Run it on your site. See what AI can read.

Free, no account, result on this page. When you want the whole picture, Radar runs all 13 audits in one pass.